Prevalence and genomic insights of carbapenem resistant and ESBL producing Multidrug resistant Escherichia coli in urinary tract infections by Vidhyalakshmi Sivarajan, Amirtha Varshini Ganesh, Pavithra Subramani, Priyanka Ganesapandi, R. N. Sivanandan, Sneha Prakash, Nithyasri Manikandan, Arunasalam Dharmarajan, Frank Arfuso, Sudha Warrier, Marquess Raj, Kumar Perumal

“…Antimicrobial susceptibility profiling was performed using the VITEK 2 automated system for 1254 E. coli isolates, revealing that 831(66.2%) isolates were determined as MDR E. coli. …”
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Machine Learning Enabled Prediction of Biologically Relevant Gene Expression Using CT‐Based Radiomic Features in Non‐Small Cell Lung Cancer by Shrey S. Sukhadia, Christoph Sadée, Olivier Gevaert, Shivashankar H. Nagaraj

“…Radiomic techniques automate the precise extraction of imaging features from tumor regions in radiographic scans, which are subjected to machine learning (ML) to predict genomic attributes. …”
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Comparison of Fecal Calprotectin Methods for Predicting Relapse of Pediatric Inflammatory Bowel Disease by Saranya Kittanakom, Md. Sharif Shajib, Kristine Garvie, Joceline Turner, Dan Brooks, Sufian Odeh, Robert Issenman, V. Tony Chetty, Joseph Macri, Waliul I. Khan

“…This study used 40 pediatric IBD and 40 random non-IBD patients’ fecal samples. Two automated ELISAs (Bühlmann and PhiCal® Calprotectin-EIA) and an EliA (Phadia 250 EliA-Calprotectin) were used to evaluate the analytical performance. …”
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Extracting Regular Building Footprints Using Projection Histogram Method from UAV-Based 3D Models by Yaoyao Ren, Xing Li, Fangyuqing Jin, Chunmei Li, Wei Liu, Erzhu Li, Lianpeng Zhang

“…This work represents a significant advancement in automating the extraction of building footprints from complex 3D scenes, with potential applications in urban planning, disaster response, and environmental monitoring.…”
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Impact of Varying Amplitudes of Upward and Downward Motion on the Torque/Force Generation, Canal-Centering Ability, and Cyclic Fatigue Resistance of Nickel–Titanium Reciprocating I... by Keiko Hirano, Shunsuke Kimura, Keiichiro Maki, Satoshi Omori, Arata Ebihara, Takashi Okiji

“…Thirty J-shaped resin canals were instrumented with Reciproc Blue using automated instrumentation and a torque/force sensing device with an up-and-down speed of 50 mm/min and varying pecking amplitudes: Group S (1 s apically, 0.5 s coronally), Group M (2 s apically, 1 s coronally), and Group L (4 s apically, 2 s coronally) (<i>n</i> = 10 each). …”
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Panoramic radiographic features for machine learning based detection of mandibular third molar root and inferior alveolar canal contact by A. Canberk Ulusoy, Tuğçe Toprak, M. Alper Selver, Pelin Güneri, Betül İlhan

“…Future work should focus on developing automated segmentation algorithms for M3M and IAC on PRs, to identify relevant anatomical structures, thereby improving clinical usability. …”
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Accelerated and precise skin cancer detection through an enhanced machine learning pipeline for improved diagnostic accuracy by SM Masfequier Rahman Swapno, S.M. Nuruzzaman Nobel, P.K. Meena, V.P. Meena, Jitendra Bahadur, Abhishek Appaji

“…This study proposes a machine learning (ML)-based framework for accurate and automated skin cancer detection, integrating EfficientNetV2L for advanced feature extraction and LightGBM (LGBM) for gradient boosting. …”
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Multimodal fusion model for diagnosing mild cognitive impairment in unilateral middle cerebral artery steno-occlusive disease by Ziyi Yuan, Zhaodi Huang, Chaojun Li, Shengrong Li, Qingguo Ren, Xiaona Xia, Qingjun Jiang, Daoqiang Zhang, Qi Zhu, Xiangshui Meng, Xiangshui Meng

“…The accuracy, recall, sensitivity, and F1-score were higher than those of the other methods, as was the diagnostic efficacy (AUC = 0.9149).ConclusionThe multimodal FBN and SBN topological feature fusion technique, which incorporates rs-fMRI, DTI, 3D-T1WI, and demographic characteristics, obtains the most discriminative features of MCI in patients with unilateral MCA steno-occlusive disease and can effectively identify disease-related brain areas and connections. Efficient automated diagnosis facilitates the early and accurate detection of MCI and timely intervention and treatment to delay or prevent disease progression.…”
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Association of altered cortical gyrification and working memory in male early abstinent alcohol-dependent individuals by Hai-ling Cao, Wei Wei, Ya-jing Meng, Yu-jie Tao, Xia Yang, Tao Li, Wan-jun Guo

“…Cognitive performance was assessed using the Spatial Working Memory (SWM) test in the Cambridge Neuropsychological Test Automated Battery (CANTAB). The relationship between LGI, cognitive performance, and clinical variables was also explored in the patient group. …”
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Geographical Peer Matching for P2P Energy Sharing by Romaric Duvignau, Vincenzo Gulisano, Marina Papatriantafilou, Ralf Klasing

“…However, many practical challenges have to be overcome before all players could gain in having efficient and automated local energy communities; such challenges include the inherent complexity of matching together geographically distributed peers and the significant computations required to calculate the local efficient matching options. …”
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Comparison of deep transfer learning models for classification of cervical cancer from pap smear images by Harmanpreet Kaur, Reecha Sharma, Jagroop Kaur

“…Our findings indicate that DTL models are suitable for automating cervical cancer screening, providing more accurate and efficient results than manual screening.…”
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Accelerating editorial processes in scientific journals: Leveraging AI for rapid manuscript review by Luca Fiorillo, Vini Mehta

“…Introduction: Artificial intelligence (AI) integration in business is increasingly recognized for enhancing productivity and efficiency. AI automates routine tasks and accelerates decision-making processes, optimizing operations and data analysis. …”
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Firefighting with Conductive Aerosol-Assisted Vortex Rings by John LaRocco, Qudsia Tahmina, Stanley Essel, John Simonis

“…The efficiency of each test case was assessed with a purpose-built automated image analysis system. The compressed air vortex launcher had a significantly higher efficiency than the elastic diaphragm prototype, with a <i>p</i>-value of 0.0006. …”
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An Optimized Hyperparameter Tuning for Improved Hate Speech Detection with Multilayer Perceptron by Muhamad Ridwan, Ema Utami

“…This improvement enables more reliable and efficient automated moderation, which is crucial for the integrity and security of digital communication platforms such as Twitter.…”
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The Voltage-Ear &#x2013; An Anomaly in Photovoltaic Systems With Undersized Inverters by Ernst Wittmann, Claudia Buerhop-Lutz, Vincent Christlein, Jens Hauch, Christoph J. Brabec, Ian Marius Peters

“…This park featured a high rate of inverter malfunctions, including overheating and fires, resulting in an estimated 5&#x0025; failure rate and, ultimately, in a complete replacement of inverters. An automated analysis of the monitoring data revealed 32.000 occurrences of excess voltage in 1.65 million data points (2&#x0025;). …”
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Improvement of the Method of Calculation of Steady-State Modes of Urban Electric Networks Taking into Account Consumer Energy Sources by M. I. Fursanov, A. A. Zalotoy

“…The power centers are transformer inputs of low voltage power substations of the main electric networks of 35 kV and above, equipped with digital devices of the account of the electric power connected to the automated system of control and accounting of power resources. …”
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Emergency response planning for sudden cardiac arrest in amateur football clubs in Germany (federal state Saarland) by Tim Meyer, Florian Egger, Ana Ukaj

“…Club representatives participated in a 30-point questionnaire on automated external defibrillator (AED) availability, visibility, purchase, usage, frequency of staff trained in cardiopulmonary resuscitation (CPR) and AED usage, regular CPR and AED training, and the existence of an emergency action plan (EAP).Results 161 of 253 eligible clubs (64% response rate) participated. …”
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Semantic Features-Based Discourse Analysis Using Deceptive and Real Text Reviews by Husam M. Alawadh, Amerah Alabrah, Talha Meraj, Hafiz Tayyab Rauf

“…However, it is still a challenge to find a precise, robust, and deployable automated solution to perform discourse analysis. A credibility check via discourse analysis would help create a safer social media environment. …”
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A quantum-optimized approach for breast cancer detection using SqueezeNet-SVM by Anas Bilal, Ali Alkhathlan, Faris A. Kateb, Alishba Tahir, Muhammad Shafiq, Haixia Long

“…Computer-aided diagnosis systems provide automated mammography image processing, interpretation, and grading. …”
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Hope Speech Detection Using Social Media Discourse (Posi-Vox-2024): A Transfer Learning Approach by Muhammad Ahmad, Usman Sardar, Farid Humaira, Ameer Iqra, Muhammad Muzzamil, Ameer Hmaza, Grigori Sidorov, Ildar Batyrshin

“…Conclusion: Our findings will be applied to improve automated systems for detecting and promoting supportive content in English, Arabic and Urdu on social media platforms, fostering positive online discourse. …”
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